Nine analysis rules for website user data

Nine analysis rules for website user data

No matter what profession you are engaged in, only hold the data to hold the user. For the site is the same, we only grasp the site's data to correctly analyze the user's behavior habits, love and users really need something. Don't say much, small series then describes how to correctly analyze Web site user data.

First, the source of the user.

1. Where do the users of our website come from? This data can be analyzed from the background of the website.

2. What provinces are the users of our website coming from? This data can be analyzed from the IP address in the background of the website.

Second, the number of visits to the site.

1. The number of monthly visits to the website. This data can be analyzed from the background of the website.

2. Number of daily visits to the website. This data can be analyzed from the background of the website.

3. The number of visits per column, each article, every day of the website. This data can be analyzed from the background of the website.

Third, the user age.

What age groups are the users of our website? Specific can be divided into 14-18 years old, 18-22 years old, 22-26 years old, 26-30 years old, 30 years old-35 years old, 35 years old. This data comes from the site's manual investigation and analysis.

Iv. user occupation.

Access to our site's user career profile. Can be divided into: students, freelancers, white-collar workers, it store services, government cadres, High-tech industry services and so on. can be specific according to the location of the site to conduct a fine differentiation investigation. This data comes from the site's manual investigation and analysis.

V. User habits.

1. The user browsing the website the custom, mainly includes: The News column content, the overall interface layout use is reasonable, the user browses the news time whether to think that where is not suitable to use the custom? And so on. This is important because most users have developed a certain habit of visiting websites on the Internet. Only in accordance with their custom to design and service, this will stick to users. This data from the site of the manual survey analysis, and site background technical analysis.

2. What time does the user visit our website every day? That is, the time the user visited the site. This data must be precise. Otherwise, the data will lose its meaning. This data from the site's manual survey analysis, and the site background technical analysis of the combination.

3. How long does the user stay on the site? That is, users in the open our site to the end of our site to close the middle of the time, this part of the data can be fully explained that the content of our site is the user's usefulness is the user likes, the content is sticky. This is the most persuasive and objective analysis of the data. This data from the site of the manual investigation and analysis, and the Web site background technical analysis of the way to obtain.

Six, the user's favorite website service.

What is the user's favorite Web service? is the blog service? is the channel information? is the RSS service? is the forum community? This data will give you a good idea of which direction our service should work and what it should be imposed on.

Seven, the user most hates the website service.

What is the user's most hated Web service? is the blog service? is the channel information? is the RSS service? is the forum community? Why do you hate it? This data is an important basis for how we can improve and change our service model.

Eight, the user most likes the website activity.

Web site activity is the most effective way to gather popularity, but what is the activity? Or should be by the site's users. The activities of these sites can be gradually arranged in future work plans through adequate manual surveys to understand the most popular activity of users. To drive popular, improve access.

Nine, the user's suggestion and the opinion reorganization.

In the site's conspicuous place, set aside a user can leave a message to the site manager's message board, this message board can not external. But you can put the site on the user feedback on the suggestions and comments are well organized refine, so that the site's work has a clear direction of improvement.

The above introduces the website user Data nine big analysis law is small arranges own some opinion, you think also has what needs to add? Welcome to discuss with small knitting. This paper is from the construction of Anqing website http://www.aqmxr.com/hydt/hydt_info75.html